scholarly journals An Edgy Image Statistic: Semi-Automated Edge Extraction and Fractal Box-Counting Algorithm Allows for Quantification of Edge Dimension In Natural Scenes

2015 ◽  
Vol 15 (12) ◽  
pp. 769 ◽  
Author(s):  
Alexander Bies ◽  
Richard Taylor ◽  
Margaret Sereno
2010 ◽  
Vol 30 (8) ◽  
pp. 2070-2072
Author(s):  
Le-shan ZHANG ◽  
Ge CHEN ◽  
Yong HAN ◽  
Tao ZHANG

2016 ◽  
Vol 55 (9) ◽  
pp. 093107 ◽  
Author(s):  
Yunqi Wang ◽  
Mei Hui ◽  
Ming Liu ◽  
Liquan Dong ◽  
Xiaohua Liu ◽  
...  

2012 ◽  
Vol 121 (2B) ◽  
pp. B-28-B-30 ◽  
Author(s):  
A.Z. Górski ◽  
S. Drożdż ◽  
A. Mokrzycka ◽  
J. Pawlik

2019 ◽  
Vol 76 (1) ◽  
pp. 204-225 ◽  
Author(s):  
Juan Ruiz de Miras

2012 ◽  
Vol 26 (30) ◽  
pp. 1250172 ◽  
Author(s):  
ZHUO SUN ◽  
JIANFENG ZHENG ◽  
HONGTAO HU

In this paper, we investigate the fractal pattern in spatial structure of urban road networks. By introducing sub-domain, an improved box-counting algorithm is proposed to obtain the fractal pattern. Numerical experiments explore the realistic urban road network at Dalian city in China. In order to clearly show the performance of our proposed box-counting algorithm, two other measures for urban road networks, i.e., density pattern and accessibility pattern are introduced, compared and discussed.


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